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Clustering methods for categorical time series and sequences : a scoping review.

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Bibliographic Details
Title: Clustering methods for categorical time series and sequences : a scoping review.
Authors: Khalifa O; Université Paris Cité, Université Sorbonne Paris Nord, INSERM, INRAE, Centre for Research in Epidemiology and StatisticS (CRESS), Paris, France. ottavio.khalifa@inserm.fr., Balendran A; Université Paris Cité, Université Sorbonne Paris Nord, INSERM, INRAE, Centre for Research in Epidemiology and StatisticS (CRESS), Paris, France., Tran VT; Université Paris Cité, Université Sorbonne Paris Nord, INSERM, INRAE, Centre for Research in Epidemiology and StatisticS (CRESS), Paris, France.; Centre D'Epidemiologie Clinique, AP-HP, Hôpital Hôtel Dieu, Paris, F-75004, France., Petit F; Université Paris Cité, Université Sorbonne Paris Nord, INSERM, INRAE, Centre for Research in Epidemiology and StatisticS (CRESS), Paris, France.
Source: BMC medical research methodology [BMC Med Res Methodol] 2026 May 28; Vol. 26 (1). Date of Electronic Publication: 2026 May 28.
Publication Type: Journal Article; Scoping Review
Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 100968545 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2288 (Electronic) Linking ISSN: 14712288 NLM ISO Abbreviation: BMC Med Res Methodol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1471-2288
DOI:10.1186/s12874-026-02857-6